Modeling and Optimization of Vehicle Acceleration and Fuel Economy Performance with Uncertainty Based on Modelica 2009-01-0232
To design and optimize the vehicle driveline is necessary to decrease the fuel consumption and improve dynamic performance. This paper describes a methodology to optimize the driveline design including the axle ratio, transmission shift points and transmission shift ratios considering uncertainty. A new and flexible tool for modeling multi-domain systems, Modelica, is used to carry out the modeling and analysis of a vehicle, and the multi-domain model is developed to determine the optimum design in terms of fuel economy, with determinability. Secondly, a robust optimization is carried out to find the optimum design considering uncertainty. The results indicate that the fuel economy and dynamic performance are improved greatly.
Citation: Chen, W., Chen, H., Zhang, Y., and Qin, G., "Modeling and Optimization of Vehicle Acceleration and Fuel Economy Performance with Uncertainty Based on Modelica," SAE Technical Paper 2009-01-0232, 2009, https://doi.org/10.4271/2009-01-0232. Download Citation
Wei Chen, Hongyan Chen, Yunqing Zhang, Gang Qin
Huazhong University of Science & Technology
SAE World Congress & Exhibition
Control and Optimization in Hybrid Powertrains, 2009-SP-2247